DocumentCode :
2543063
Title :
Study of afforestation design based on association rules
Author :
Shan Yao ; Zhongke Feng
Author_Institution :
Comput. & Inf. Eng., Beijing Univ. of Agric., Beijing, China
fYear :
2012
fDate :
29-31 May 2012
Firstpage :
1555
Lastpage :
1558
Abstract :
In order to improve the accuracy of forest decision-making and design the technical measures for the forest types, tree species, planting density, planting mixing and afforestation methods technically and economically. This paper adopts data mining technique based on association rules to analysis the relevance among specification of soil preparation, planting spacing and the ratio of mixing plantation, and discovers the afforestation knowledge from afforestation survey design data. This research realizes the support to afforestation decision analysis by using association rules, and provides the reference for the afforestation decision support.
Keywords :
data mining; decision support systems; forestry; vegetation; afforestation decision support; afforestation knowledge discovery; afforestation survey design data; association rules; data mining technique; forest decision-making; forest types; mixing plantation ratio; planting density; planting mixing; planting spacing specification; soil preparation specification; technical measures; tree species; Algorithm design and analysis; Association rules; Databases; Forestry; Soil; Vegetation; Afforestation design; Association rules; Data mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
Type :
conf
DOI :
10.1109/FSKD.2012.6233832
Filename :
6233832
Link To Document :
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